998 resultados para detecção de mudança


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Software Products Lines (SPL) is a software engineering approach to developing software system families that share common features and differ in other features according to the requested software systems. The adoption of the SPL approach can promote several benefits such as cost reduction, product quality, productivity, and time to market. On the other hand, the SPL approach brings new challenges to the software evolution that must be considered. Recent research work has explored and proposed automated approaches based on code analysis and traceability techniques for change impact analysis in the context of SPL development. There are existing limitations concerning these approaches such as the customization of the analysis functionalities to address different strategies for change impact analysis, and the change impact analysis of fine-grained variability. This dissertation proposes a change impact analysis tool for SPL development, called Squid Impact Analyzer. The tool allows the implementation of change impact analysis based on information from variability modeling, mapping of variability to code assets, and existing dependency relationships between code assets. An assessment of the tool is conducted through an experiment that compare the change impact analysis results provided by the tool with real changes applied to several evolution releases from a SPL for media management in mobile devices

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Web services are software units that allow access to one or more resources, supporting the deployment of business processes in the Web. They use well-defined interfaces, using web standard protocols, making possible the communication between entities implemented on different platforms. Due to these features, Web services can be integrated as services compositions to form more robust loose coupling applications. Web services are subject to failures, unwanted situations that may compromise the business process partially or completely. Failures can occur both in the design of compositions as in the execution of compositions. As a result, it is essential to create mechanisms to make the implementation of service compositions more robust and to treat failures. Specifically, we propose the support for fault recovery in service compositions described in PEWS language and executed on PEWS-AM, an graph reduction machine. To support recovery failure on PEWS-AM, we extend the PEWS language specification and adapted the rules of translation and reduction of graphs for this machine. These contributions were made both in the model of abstract machine as at the implementation level

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In February 2011, the National Agency of Petroleum, Natural Gas and Biofuels (ANP) has published a new Technical Rules for Handling Land Pipeline Petroleum and Natural Gas Derivatives (RTDT). Among other things, the RTDT made compulsory the use of monitoring systems and leak detection in all onshore pipelines in the country. This document provides a study on the method for detection of transient pressure. The study was conducted on a industrial duct 16" diameter and 9.8 km long. The pipeline is fully pressurized and carries a multiphase mixture of crude oil, water and natural gas. For the study, was built an infrastructure for data acquisition and validation of detection algorithms. The system was designed with SCADA architecture. Piezoresistive sensors were installed at the ends of the duct and Digital Signal Processors (DSPs) were used for sampling, storage and processing of data. The study was based on simulations of leaks through valves and search for patterns that characterize the occurrence of such phenomena

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This work presents contributions in the detection and identication of faults in multilevel inverters through the study of the converters behavior under these operation conditions. Basically, the approached fault consists of an open-circuit in any switch of a three-level clamped diode inverter. The converter operation is characterized in the pre and post-fault states. A wave form behavior analysis of the pole voltage, phase current and dc-bus current is also done, which highlights characteristics that allow the detection of failure and, even, under favorable conditions, the identication of the faulty device. A compensation strategy of the approached fault (open-switch) is also investigated with the purpose of maintaining the driving system operational when a failure occurs. The proposed topology uses SCRs in parallel with the internal switches of the inverter, which allows, in some occasions, the full utilization of the dc-bus

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In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

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In this work are presented, as a review and in a historical context, the most used methods to solve quadratic equations. It is also shown the simplest type of change of variables, namely: x = Ay + B where A;B 2 R, and some changes of variables that were used to solve quadratic equations throughout history. Finally, a change of variable, which has been used by the author in the classroom as an alternative method, is presented and the result of this methodoly is illustrated by the responses of a test that was done by the students in classroom

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Objective to establish a methodology for the oil spill monitoring on the sea surface, located at the Submerged Exploration Area of the Polo Region of Guamaré, in the State of Rio Grande do Norte, using orbital images of Synthetic Aperture Radar (SAR integrated with meteoceanographycs products. This methodology was applied in the following stages: (1) the creation of a base map of the Exploration Area; (2) the processing of NOAA/AVHRR and ERS-2 images for generation of meteoceanographycs products; (3) the processing of RADARSAT-1 images for monitoring of oil spills; (4) the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products; and (5) the structuring of a data base. The Integration of RADARSAT-1 image of the Potiguar Basin of day 21.05.99 with the base map of the Exploration Area of the Polo Region of Guamaré for the identification of the probable sources of the oil spots, was used successfully in the detention of the probable spot of oil detected next to the exit to the submarine emissary in the Exploration Area of the Polo Region of Guamaré. To support the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products, a methodology was developed for the classification of oil spills identified by RADARSAT-1 images. For this, the following algorithms of classification not supervised were tested: K-means, Fuzzy k-means and Isodata. These algorithms are part of the PCI Geomatics software, which was used for the filtering of RADARSAT-1 images. For validation of the results, the oil spills submitted to the unsupervised classification were compared to the results of the Semivariogram Textural Classifier (STC). The mentioned classifier was developed especially for oil spill classification purposes and requires PCI software for the whole processing of RADARSAT-1 images. After all, the results of the classifications were analyzed through Visual Analysis; Calculation of Proportionality of Largeness and Analysis Statistics. Amongst the three algorithms of classifications tested, it was noted that there were no significant alterations in relation to the spills classified with the STC, in all of the analyses taken into consideration. Therefore, considering all the procedures, it has been shown that the described methodology can be successfully applied using the unsupervised classifiers tested, resulting in a decrease of time in the identification and classification processing of oil spills, if compared with the utilization of the STC classifier

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It is presented an integrated geophysical investigation of the spatial distribution of faults and deformation bands (DB´s) in a faulted siliciclastic reservoir analogue, located in Tucano Basin, Bahia State, northeastern Brazil. Ground Penetrating Radar (GPR) and permeability measurements allowed the analysis of the influence of DB´s in the rock permeability and porosity. GPR data were processed using a suitable flow parametrization in order to highlight discontinuities in sedimentary layers. The obtained images allowed the subsurface detection of DB´s presenting displacements greater that 10 cm. A good correlation was verified between DB´s detected by GPR and those observed in surface, the latter identified using conventional structural methods. After some adaptations in the minipermeameter in order to increase measurement precision, two approaches to measure permeabilities were tested: in situ and in collected cores. The former approach provided better results than the latter and consisted of scratching the outcrop surface, followed by direct measurements on outcrop rocks. The measured permeability profiles allowed to characterize the spatial transition from DB´s to undeformed rock; variation of up to three orders of magnitude were detected. The permeability profiles also presented quasi-periodic patterns, associated with textural and granulometric changes, possibly associated to depositional cycles. Integrated interpretation of the geological, geophysical and core data, provided the subsurface identification of an increase in the DB´s number associated with a sedimentary layer presenting granulometric decrease at depths greater than 8 m. An associated sharp decrease in permeability was also measured in cores from boreholes. The obtained results reveal that radagrams, besides providing high resolution images, allowing the detection of small structures (> 10 cm), also presented a correlation with the permeability data. In this way, GPR data may be used to build upscaling laws, bridging the gap between outcrop and seismic data sets, which may result in better models for faulted reservoirs

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This study includes the results of the analysis of areas susceptible to degradation by remote sensing in semi-arid region, which is a matter of concern and affects the whole population and the catalyst of this process occurs by the deforestation of the savanna and improper practices by the use of soil. The objective of this research is to use biophysical parameters of the MODIS / Terra and images TM/Landsat-5 to determine areas susceptible to degradation in semi-arid Paraiba. The study area is located in the central interior of Paraíba, in the sub-basin of the River Taperoá, with average annual rainfall below 400 mm and average annual temperature of 28 ° C. To draw up the map of vegetation were used TM/Landsat-5 images, specifically, the composition 5R4G3B colored, commonly used for mapping land use. This map was produced by unsupervised classification by maximum likelihood. The legend corresponds to the following targets: savanna vegetation sparse and dense, riparian vegetation and exposed soil. The biophysical parameters used in the MODIS were emissivity, albedo and vegetation index for NDVI (NDVI). The GIS computer programs used were Modis Reprojections Tools and System Information Processing Georeferenced (SPRING), which was set up and worked the bank of information from sensors MODIS and TM and ArcGIS software for making maps more customizable. Initially, we evaluated the behavior of the vegetation emissivity by adapting equation Bastiaanssen on NDVI for spatialize emissivity and observe changes during the year 2006. The albedo was used to view your percentage of increase in the periods December 2003 and 2004. The image sensor of Landsat TM were used for the month of December 2005, according to the availability of images and in periods of low emissivity. For these applications were made in language programs for GIS Algebraic Space (LEGAL), which is a routine programming SPRING, which allows you to perform various types of algebras of spatial data and maps. For the detection of areas susceptible to environmental degradation took into account the behavior of the emissivity of the savanna that showed seasonal coinciding with the rainy season, reaching a maximum emissivity in the months April to July and in the remaining months of a low emissivity . With the images of the albedo of December 2003 and 2004, it was verified the percentage increase, which allowed the generation of two distinct classes: areas with increased variation percentage of 1 to 11.6% and the percentage change in areas with less than 1 % albedo. It was then possible to generate the map of susceptibility to environmental degradation, with the intersection of the class of exposed soil with varying percentage of the albedo, resulting in classes susceptibility to environmental degradation

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OBJETIVO: Auxiliar o profissional de saúde na identificação dos fatores de risco e de proteção, e no manejo de pacientes com risco de suicídio, por meio de entrevista clinica, no contexto de emergência médica. MÉTODO: Revisão seletiva da literatura para identificar achados clínicos relevantes e ilustrativos. RESULTADO: A entrevista clinica é o melhor método para avaliar o risco suicida e tem dois objetivos: 1) apoio emocional e de estabelecimento de vínculo; 2) coleta de informações. Existe um número considerável de informações a serem coletadas durante a entrevista: fatores de risco e proteção (predisponentes e precipitantes), dados epidemiológicos, caracterização do ato, aspectos psicodinâmicos, antecedentes pessoais e familiares, modelos de identificação, dados sobre saúde física e rede de apoio social. Dificuldades ao longo da entrevista serão encontradas, mas com conhecimento e treinamento adequado, o profissional poderá abordar e ajudar adequadamente o paciente. Embora várias escalas tenham sido propostas, nenhuma delas demonstrou eficiência para a detecção de risco de suicídio. CONCLUSÃO: Não há como prever quem cometerá suicídio, mas é possível avaliar o risco individual que cada paciente apresenta, tendo em vista a investigação detalhada e empática da entrevista clinica. Impedir que o paciente venha a se matar é regra preliminar e fundamental.

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OBJETIVOS: Identificar a frequência de ocorrência de desvios oculares e as características dos portadores em uma amostra populacional. MÉTODOS: Estudo transversal, observacional e probabilístico, entre os anos de 2004 e 2005, envolvendo 11 cidades da região centro-oeste do estado de São Paulo. Foram examinados 10.994 indivíduos, sendo utilizada para este estudo uma subamostra desta população, identificada pelo diagnóstico de estrabismo. A população foi abordada por uma equipe treinada e padronizada para os procedimentos da pesquisa. Os dados foram analisados estatisticamente por meio de análise descritiva, frequência de ocorrência, análise de contingência e testes de associação (p<0,05). RESULTADOS: A frequência de ocorrência de estrabismo na população estudada foi de 1,4% (148 portadores de estrabismo), sem diferença entre sexos. Portadores de esodesvios (ET) eram 46,3%, 38,2% casos de exodesvio (XT) e 15,4% de desvios verticais associados a horizontais ou síndromes. A análise de contingência mostrou que 3 indivíduos (2,3%) estrábicos apresentavam cegueira e 7 (5,43%) apresentavam baixa visão em um dos olhos. Tanto a ET, quanto a XT estiveram presentes em indivíduos com graus variáveis de miopia (até -5,75 para XT e -2,50 para ET) e de hipermetropia (até +9,00 para XT e +8,00 para ET). A associação entre estrabismo e o equivalente esférico obtido na refração estática não mostrou diferença significativa (p>0,05). CONCLUSÃO: A frequência de ocorrência de estrabismo em uma amostra populacional foi de 1,4%, sem diferença entre sexos ou tipo de desvio ocular. A presença de cegueira e de baixa visão associadas aos desvios oculares reforçam a necessidade de tratamento precoce.

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INTRODUÇÃO: A hiperexpressão de human epidermal growth factor receptor (HER-2/neu) e a amplificação do seu gene são indicadores de formas mais agressivas do câncer de mama. A Food and Drug Administration (FDA) aprovou o teste denominado HercepTest® com a finalidade de selecionar pacientes com indicação para o uso de um anticorpo humanizado anti-HER-2/neu (trastuzumab), com efeito terapêutico comprovado. OBJETIVOS: O presente trabalho tem como objetivo comparar os resultados obtidos pelos métodos imuno-histoquímicos LSAB®+ com a utilização de anticorpo A0485 e HercepTest®. Material e métodos: Foram utilizados 50 casos de carcinoma de mama nos quais a pesquisa da hiperexpressão de HER-2 pelo método LSAB®+ já havia sido realizada. Foi repetida a pesquisa da hiperexpessão de HER-2/neu nos mesmos casos, utilizando-se o método do HercepTest®. RESULTADOS: 34 casos foram considerados negativos pelos dois métodos, com escore 0 pelo método HercepTest®. Destes, 12 obtiveram escore 1+ e 22 obtiveram escore 0 pelo método LSAB®+. em oito casos, o escore foi 2+ pelos dois métodos. Escore 3+ foi encontrado também em oito casos pelos dois métodos. DISCUSSÃO: O método mais prático utilizado em laboratório de rotina diagnóstica para investigar a hiperexpressão de HER-2/neu é o estudo imuno-histoquímico. em função de muitas variáveis, como tempo de fixação, tipo de fixador, duração da fixação, método de recuperação antigênica e tipo de anticorpo utilizado, pode haver divergência de resultados. CONCLUSÃO: O presente estudo concluiu que o método HercepTest®demonstrou resultados equivalentes aos resultados obtidos pelo método LSAB®+ em carcinoma de mama.

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Descreve-se a inovação pedagógica de dois casos na graduação médica: uma matéria denominada Saúde Coletiva III, com (Administração, Ciências Sociais, Epidemiologia, Ética e Nutrição em Saúde Publica) e a disciplina de Semiologia Pediátrica. Para descrição e avaliação dos casos, utilizaram-se métodos qualitativos. A Saúde Coletiva III foi organizada por núcleos temáticos: Problemas em Saúde Publica; Nutrição em Saúde Publica; Planejamento em Saúde. O modelo de ensino centrou-se na problematização de situações vivenciadas na prática da Saúde Publica, trabalhando-se em centros, serviços e organizações de saúde. A Semiologia Pediátrica privilegiou a atenção integral à saúde da criança. O modelo de ensino centrou-se na aprendizagem baseada em problemas e no aprendizado prático da semiologia pediátrica em diferentes cenários, enfatizando-se o ensino ambulatorial. Privilegiou-se o trabalho em pequenos grupos, com a orientação docente. A principal missão voltou-se à utilização de estratégias que valorizassem o ensino centrado no estudante e sua capacidade de construir conhecimento com autonomia. No caso da Pediatria, avançou-se rumo a Medicina Integral, com enfoque amplo do modelo de atenção à criança. A Saúde Coletiva aproximou-se da Medicina Comunitária problematizando situações concretas no SUS e na atenção primária. O estudo mostra a possibilidade de inovação no ensino, e podendo contribuir para a mudança institucional.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)